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Peter Ertl — most-cited papers & profile · AI for Science
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Peter Ertl
2
papers ·
35
citations
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Most-cited papers
In silico generation of novel, drug-like chemical matter using the LSTM neural network
2017 · 35 citations
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks
2019
Top co-authors
Eric Martin
· 1
Guillaume Godin
· 1
Igor V. Tetko
· 1
Richard Lewis
· 1
Ruud van Deursen
· 1
Valery Polyakov
· 1
Topics
Drug Discovery
Chemistry